Clusters of spatial, temporal, and space-time distribution of hemorrhagic fever with renal syndrome in Liaoning Province, Northeastern China

BMC Infectious Diseases

Research Article

Wei Wu¹  Peng Guan¹  Baosen Zhou¹  Yingwei Sun²  Junqiao Guo² 

[1] Department of Epidemiology, School of Public Health, China Medical University, Shenyang, P.R. China;Liaoning Provincial Center for Disease Control and Prevention, Shenyang, P.R. China;

关键词: Spatial Cluster;    Liaoning Province;    Hemorrhagic Fever With Renal Syndrome;    Temporal Cluster;    Spatial Autocorrelation Analysis;   

DOI  :  10.1186/1471-2334-11-229

 received in 2010-08-27, accepted in 2011-08-26,  发布年份 2011

来源: Springer

【 摘 要 】

BackgroundHemorrhagic fever with renal syndrome (HFRS) is a rodent-borne disease caused by Hantavirus, with characteristics of fever, hemorrhage, kidney damage, and hypotension. HFRS is recognized as a notifiable public health problem in China, and Liaoning Province is one of the most seriously affected areas with the most cases in China. It is necessary to investigate the spatial, temporal, and space-time distribution of confirmed cases of HFRS in Liaoning Province, China for future research into risk factors.MethodsA cartogram map was constructed; spatial autocorrelation analysis and spatial, temporal, and space-time cluster analysis were conducted in Liaoning Province, China over the period 1988-2001.ResultsWhen the number of permutation test was set to 999, Moran's I was 0.3854, and was significant at significance level of 0.001. Spatial cluster analysis identified one most likely cluster and four secondary likely clusters. Temporal cluster analysis identified 1998-2001 as the most likely cluster. Space-time cluster analysis identified one most likely cluster and two secondary likely clusters.ConclusionsSpatial, temporal, and space-time scan statistics may be useful in supervising the occurrence of HFRS in Liaoning Province, China. The result of this study can not only assist health departments to develop a better prevention strategy but also potentially increase the public health intervention's effectiveness.

【 授权许可】

Unknown   
© Wu et al; licensee BioMed Central Ltd. 2011. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.